Senior Data Ingestion & Cloud Integrations Engineer — Remote

Outlier; Quilmes; Remote; ARS 169,994,000 - 231,811,000; Full time

Benefits offered by this job

Contractor agreement with payment in 1

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors for an Identity Security/Cybersecurity platform. You’ll bridge customers and engineering, designing scalable ingestion pipelines and reliable connectors across cloud environments.

You’ll work with Python/Go, REST APIs, Docker/Kubernetes, and cloud platforms, while collaborating with cross‑functional teams to ensure fast time‑to‑production and high‑quality integrations.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• Hands‑on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third‑party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with at least one major cloud platform (AWS, Azure, GCP).
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production‑ready distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
• Experience working directly with customers, stakeholders, or technical partners.
• Ability to translate complex customer requirements into pragmatic technical solutions.
• Strong communication skills and the ability to operate effectively in customer‑facing technical conversations.

Responsibilities

• Design, develop, and maintain production‑grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high‑volume data sources.
• Build integrations using REST APIs, cloud‑native services, event‑driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high‑volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
• Contribute technical insights from real‑world implementations to the product roadmap.
• Support production adoption and continuously improve time‑to‑value for enterprise customers.
• Participate in occasional customer‑facing technical sessions and, when necessary, onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Cloud infrastructure

Distributed systems

SQL

NoSQL databases

CI/CD

Docker

Kubernetes

Tools

Docker

Kubernetes

SQL

NoSQL

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors for an Identity Security/Cybersecurity platform. You’ll bridge customers and engineering, designing scalable ingestion pipelines and reliable connectors across cloud environments.

You’ll work with Python/Go, REST APIs, Docker/Kubernetes, and cloud platforms, while collaborating with cross‑functional teams to ensure fast time‑to‑production and high‑quality integrations.